Exemple #1
0
    def setFrequency(self, time=np.logspace(-7, -1, 256)):

        self.Nch = self.time.size
        wt = np.array([7.214369775966785e-20, 5.997984537445829e-20, 1.383536819510307e-20, 6.127201193993877e-20, 2.735622069700930e-20, 6.567948836420383e-20, 4.144963335850363e-20, 7.316414067200350e-20, 5.682375914662966e-20, 8.391977074915078e-20, 7.418756524583309e-20, 9.829637687190485e-20, 9.430643800653847e-20, 1.168146262188112e-19, 1.180370735968097e-19, 1.401723019040171e-19, 1.463726071463266e-19, 1.692722072070252e-19, 1.804796158499069e-19, 2.052560499147526e-19, 2.217507732438609e-19, 2.495469564846162e-19, 2.718603842873614e-19, 3.039069705922034e-19, 3.328334008394297e-19, 3.705052796297763e-19, 4.071277819975917e-19, 4.520053409594589e-19, 4.977334107366132e-19, 5.516707191291291e-19, 6.082931168675559e-19, 6.734956703766505e-19, 7.432489554623685e-19, 8.223651399147256e-19, 9.080210233648037e-19, 1.004250388267800e-18, 1.109225156214032e-18, 1.226448534750949e-18, 1.354938655056596e-18, 1.497875155579711e-18, 1.655024636692164e-18, 1.829422009902478e-18, 2.021527957180686e-18, 2.234394042862191e-18, 2.469158736824458e-18, 2.729043278909879e-18, 3.015882778812807e-18, 3.333221019045560e-18, 3.683642665131121e-18, 4.071174485366807e-18, 4.499238428427072e-18, 4.972519918024098e-18, 5.495403162992602e-18, 6.073431145514256e-18, 6.712116746365455e-18, 7.418091347704607e-18, 8.198210388921290e-18, 9.060466264497684e-18, 1.001332641867938e-17, 1.106647001686341e-17, 1.223031194783507e-17, 1.351661046246575e-17, 1.493814249254853e-17, 1.650922025025269e-17, 1.824549287949245e-17, 2.016440324953847e-17, 2.228509875325462e-17, 2.462885473506622e-17, 2.721908372832262e-17, 3.008174877960754e-17, 3.324546598231868e-17, 3.674192913569353e-17, 4.060610542324258e-17, 4.487669220181069e-17, 4.959641037849226e-17, 5.481251456381401e-17, 6.057719336989671e-17, 6.694815564512041e-17, 7.398915178848498e-17, 8.177066132132114e-17, 9.037055462918574e-17, 9.987491078055815e-17, 1.103788451159722e-16, 1.219874911140742e-16, 1.348170262066998e-16, 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        ab = 0.7866057737580476e0

        #------- Compute Frequency components reqired for transform -------#
        # This is for Digital filtering and here we evalute frequency domain responses
        # ritght at this bases.
        # a. Generate time base
        n = np.ceil(-10*np.log(time.min()/time.max()))
        tbase = time.max()*np.exp(-0.1*np.arange(0, n+1))

        self.wt = wt
        self.ab = ab
        self.n = n
        self.tbase = tbase

        # b. Determine required frequencies
        omega_int = (ab/tbase[0])*np.exp(0.1*(np.r_[1:786+tbase.size:(786+tbase.size)*1j]-425))

        # Case1: Compute frequency domain reponses right at filter coefficient values
        if self.switchInterp == False:

            self.frequency = omega_int/(2*np.pi)
            self.Nfreq = self.frequency.size

        # Case2: Compute frequency domain reponses in logarithmic then intepolate
        elif self.switchInterp ==  True:
            # This is tested decision: works well 1e-4-1e0 S/m
            self.frequency = np.logspace(-3, 8, 81)
            self.omega_int = omega_int
            self.Nfreq = self.frequency.size

        else:
            raise Exception('Not implemented!!')

        if self.offset is not None and np.isscalar(self.offset):
            self.offset = self.offset*np.ones(self.Nfreq)
        elif self.offset is not None and not np.isscalar(self.offset):
            self.offset = self.offset[0]*np.ones(self.Nfreq)
Exemple #2
0
 def SetOffset(self):
     if np.isscalar(self.offset):
         self.offset = self.offset*np.ones(self.Nfreq)